Xinhan Di
Computer Vision and Pattern Recognition · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 165 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 61 citations into it; #10,538 of 21,575 by trust here, #5,422 by citations
- Computational Mechanics — 35 citations into it; #4,390 of 10,001 by trust here, #991 by citations
- Aerospace Engineering — 17 citations into it; #2,335 of 6,421 by trust here, #808 by citations
- Artificial Intelligence — 14 citations into it
- 3D Vision & Pose — 11 citations into it; #380 of 689 by trust here, #170 by citations
- Computer Graphics and Computer-Aided Design — 7 citations into it
Whom Xinhan Di trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Alex Krizhevsky
- Jitendra Malik
- Alexey Dosovitskiy
- Yaroslav Ganin
- Shubham Tulsiani
- Kaiming He
- Ross B. Girshick
- Diederik P. Kingma
Who trusts Xinhan Di overall
Papers from Xinhan Di's perspective
Ordered by how strongly the researchers Xinhan Di trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- PointCNN: Convolution On X-Transformed Points (2018) — 2,957 citations
- Deep Shape from a Low Number of Silhouettes (2016) — 15 citations